Amazon A/B Testing vs Amplitude vs Optimizely: What are the differences?

# Introduction

1. **Amazon A/B Testing vs Amplitude and Optimizely**

1. **Data Collection Methods**: Amazon A/B Testing focuses on collecting large amounts of quantitative data to test various changes on their platform, while Amplitude and Optimizely provide both qualitative and quantitative data collection methods allowing for a more comprehensive analysis.
   
2. **Analysis Tools**: Amazon A/B Testing primarily provides statistical analysis tools for analyzing A/B test results, whereas Amplitude and Optimizely offer a wider range of tools including cohort analysis, funnel analysis, and segmentation analysis for in-depth understanding of user behavior and engagement.

3. **Targeting and Personalization**: Amplitude and Optimizely provide advanced targeting and personalization features allowing for more accurate and tailored experiments based on user segments, behaviors, and preferences, while Amazon A/B Testing may lack these advanced targeting capabilities.

4. **Integration Capabilities**: Amplitude and Optimizely offer seamless integrations with a variety of third-party tools and platforms, enabling smooth data flow and easy collaboration between different teams, whereas Amazon A/B Testing may have limited integration options.

5. **Testing Capabilities**: While all three platforms allow for A/B testing, Amplitude and Optimizely also support multivariate testing, enabling simultaneous testing of multiple variables to identify the most effective combination, a feature which may be lacking in Amazon A/B Testing. 

6. **Customer Support and Training**: Amplitude and Optimizely typically provide more dedicated customer support and training resources, including online documentation, webinars, and personalized training sessions, while Amazon A/B Testing may have more limited support options available.

In Summary, when comparing Amazon A/B Testing with Amplitude and Optimizely, the main differences lie in their data collection methods, analysis tools, targeting capabilities, integration capabilities, testing methods, and customer support offerings.